Top Data & Analytics Jobs

Manage multi-asset model portfolios, implement investment strategies, ensure compliance, utilize technology for process improvement, and collaborate with teams to enhance systems and analytics.

The Systems Researcher focuses on algorithm development and software engineering, collaborating with computer scientists and data scientists in quantitative equity investment.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a Principal Quantitative Analyst, you will develop and enhance modeling frameworks, apply quantitative methods, and collaborate on cloud-based solutions to improve performance in Capital Markets and Analytics.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

As a research scientist, you'll support real-world data collection and curation, develop datasets using AI/ML, and collaborate with stakeholders to analyze data for quality and utility in cancer care.

Summer internship on the Data & Analytics Platform team building automation, model prototypes, and platform features. Work with engineers to write, test, and deploy code, partner with internal customers to prototype ML and generative workflows, and participate in design discussions and code reviews in an agile environment.

The Director, Data Acquisition will lead strategies for acquiring and integrating third-party data, manage vendor relationships, and ensure compliance with data governance and privacy standards.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

Lead a team delivering workforce planning analytics and people insights. Drive people analytics strategy, build reports/dashboards, apply AI/ML to predictive workforce modeling, ensure GDPR-compliant data practices, and present findings to senior leadership while partnering with HR, Operations, and Finance.

Lead analysis of service events and work order data to produce actionable visualizations and insights. Prototype dashboards, apply ML/AI to forecast labor and parts trends, govern access to service data domains, and partner with distribution and digital teams to improve dealer resource planning.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.